Exam 17: Basic Multivarate Techniques
Exam 1: Approaches to Methods19 Questions
Exam 2: Explaining10 Questions
Exam 3: Experiments, Quasi-Experiments, and Field Observations32 Questions
Exam 4: Survey Designs21 Questions
Exam 5: Nonreactive and Comparative Research20 Questions
Exam 6: Qualitative Research Methods39 Questions
Exam 7: Critical Approaches to Research: Action and Feminist Research15 Questions
Exam 8: A Statistics Primer30 Questions
Exam 9: Three Tests of Significance20 Questions
Exam 10: Bias22 Questions
Exam 11: Ethical Issues14 Questions
Exam 12: Getting the Project Started20 Questions
Exam 13: Measurement27 Questions
Exam 14: Questionnaire Development20 Questions
Exam 15: Sampling and Sample Size20 Questions
Exam 16: Starting the Data Analysis9 Questions
Exam 17: Basic Multivarate Techniques38 Questions
Exam 18: The Research Report4 Questions
Exam 19: Using Spss for Windows13 Questions
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With respect to regression analysis, the applied researcher will be interested in independent variables which:
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The simplest regression analysis, elaborated upon in the course text, involves:
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To demonstrate the causal order of a relationship, one must:
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When employing Jackson's Rule of Thirds, a relationship increase refers to:
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When employing PARTIAL CORR to test an intervening variable, which of the following is not an indicator of a correct model:
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Which of the following is not a condition which must be satisfied in order to establish a causal relationship:
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To state that two variables are associated is to state that:
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To support a proposed intervening variable model, the relationship must:
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Within Jackson's Rule of Thirds, if the difference remains within 1/3, the relationship can be said to have:
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Which of the following is an expression of the relationship between a dependent variable and several independent ones:
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When techniques designed to include ordinal level variables in regression analysis, the price one pays is:
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The pure researcher, as opposed to the applied researcher, will be interested in:
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The intervening variable model is of interest in understanding:
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Beta weight comparisons make which of the following irrelevant:
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To execute regression analysis, the optimum level of measurement is:
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The dilemma of the sources of spuriousness model and the intervening variable model is that:
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